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Data Insights Platform

Enterprise AI Solution

Enterprise data platform using Azure Kubernetes and Databricks to support product strategies.

Overview

A comprehensive data insights platform built on Azure Kubernetes and Databricks, designed to support AT&T product and pricing strategies. The platform processes both batch and real-time data streams, providing actionable insights to business stakeholders through standardized data models and visualizations.

Challenges

  • Migrating complex data pipelines from AWS to Azure without service disruption
  • Consolidating data from 50+ heterogeneous sources with varying formats
  • Ensuring data quality and consistency across real-time and batch processing
  • Managing costs while scaling to handle petabytes of data
  • Providing self-service analytics while maintaining data governance

Solutions

  • Designed phased migration strategy with parallel running and automated validation
  • Built configurable ETL framework using Spark for standardized data ingestion
  • Implemented Delta Lake for ACID transactions and unified batching/streaming processing
  • Created cost monitoring agent for Databricks jobs with automated optimization
  • Deployed Power BI with row-level security integrated with Azure AD

Key Results

Successfully migrated 200+ data pipelines with zero data loss
Reduced data processing time by 60% through Spark optimization
Enabled real-time pricing decisions with sub-minute data freshness
Achieved 30% cost reduction through automated resource management
Empowered 500+ business users with self-service analytics capabilities

Technologies

Azure K8sDatabricksSparkKafkaJavaPython